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Shaofu Yang

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|April 22, 2016
A Collective Neurodynamic Approach to Distributed Constrained OptimizationQingshan Liu, Shaofu Yang, Jun Wang
Neural Networks : the Official Journal of the International Neural Network Society|September 20, 2016
Global synchronization of memristive neural networks subject to random disturbances via distributed pinning controlZhenyuan Guo, Shaofu Yang, Jun Wang
Chaos (Woodbury, N.Y.)|January 3, 2013
A new protocol for finite-time consensus of detail-balanced multi-agent networksShaofu Yang, Jinde Cao, Jianquan Lu
Neural Networks : the Official Journal of the International Neural Network Society|June 19, 2023
Decentralized ADMM with compressed and event-triggered communicationZhen Zhang, Shaofu Yang, Wenying Xu
IEEE Transactions on Neural Networks and Learning Systems|September 16, 2014
Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear couplingZhenyuan Guo, Shaofu Yang, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems|April 22, 2016
Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive InteractionsShaofu Yang, Zhenyuan Guo, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems|February 7, 2017
A Collaborative Neurodynamic Approach to Multiple-Objective Distributed OptimizationShaofu Yang, Qingshan Liu, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems|February 4, 2026
Decentralized Primal-Dual Optimization Without Global Lipschitz ContinuityLuqing Wang, Shaofu Yang, Min-Ling Zhang
Neural Networks : the Official Journal of the International Neural Network Society|March 30, 2018
Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controllerShuqing Gong, Shaofu Yang, Zhenyuan Guo, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2022
Privacy-Preserving Distributed ADMM With Event-Triggered CommunicationZhen Zhang, Shaofu Yang, Wenying Xu, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|April 22, 2016
A Collective Neurodynamic Approach to Distributed Constrained OptimizationQingshan Liu, Shaofu Yang, Jun Wang
Neural Networks : the Official Journal of the International Neural Network Society|September 20, 2016
Global synchronization of memristive neural networks subject to random disturbances via distributed pinning controlZhenyuan Guo, Shaofu Yang, Jun Wang
Chaos (Woodbury, N.Y.)|January 3, 2013
A new protocol for finite-time consensus of detail-balanced multi-agent networksShaofu Yang, Jinde Cao, Jianquan Lu
Neural Networks : the Official Journal of the International Neural Network Society|June 19, 2023
Decentralized ADMM with compressed and event-triggered communicationZhen Zhang, Shaofu Yang, Wenying Xu
IEEE Transactions on Neural Networks and Learning Systems|September 16, 2014
Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear couplingZhenyuan Guo, Shaofu Yang, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems|April 22, 2016
Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive InteractionsShaofu Yang, Zhenyuan Guo, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems|February 7, 2017
A Collaborative Neurodynamic Approach to Multiple-Objective Distributed OptimizationShaofu Yang, Qingshan Liu, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems|February 4, 2026
Decentralized Primal-Dual Optimization Without Global Lipschitz ContinuityLuqing Wang, Shaofu Yang, Min-Ling Zhang
Neural Networks : the Official Journal of the International Neural Network Society|March 30, 2018
Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controllerShuqing Gong, Shaofu Yang, Zhenyuan Guo, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2022
Privacy-Preserving Distributed ADMM With Event-Triggered CommunicationZhen Zhang, Shaofu Yang, Wenying Xu, et al.
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